The Little Green Data Book 2016 - World Bank · The Little Green Data Book 2016 . is the result of close collaboration between the staff of the Development Data Group of the Development

2016 THE LITTLE GREENDATA BOOK

2016 International Bank for Reconstruction and Development / The World Bank1818 H Street NW, Washington, DC 20433Telephone: 202-473-1000; Internet: www.worldbank.org

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iiiThe Little Green Data Book 2016

Acknowledgments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iv

Foreword. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .v

Data notes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . viii

Regional tables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1

World . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2

East Asia and Pacific . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

Europe and Central Asia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4

Latin America and the Caribbean . . . . . . . . . . . . . . . . . . . . . . . . . . . 5

Middle East and North Africa . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6

North America . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7

South Asia . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8

Sub-Saharan Africa . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9

Income group tables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10

Low income. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11

Lower middle income . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12

Upper middle income. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13

High income . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14

Country tables (in alphabetical order) . . . . . . . . . . . . . . . . . . . . . . . . . . 15

Notes. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 230

Glossary. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 231

References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 237

Contents

iv 2016 The Little Green Data Book

The Little Green Data Book 2016 is based on World Development Indicators 2016 and its online database. Defining, gathering, and disseminating international statistics is a collective effort of many people and organizations. The indicators presented in World Development Indicators are the fruit of decades of work at many levels, from the field workers who administer censuses and household surveys to the committees and working parties of the national and international statistical agencies that develop the nomenclature, classifications, and standards fundamental to the international statistical system. Nongovernmental organizations have also made important contributions. We are indebted to the World Development Indicators partners, as detailed in World Development Indicators 2016.

The Little Green Data Book 2016 is the result of close collaboration between the staff of the Development Data Group of the Development Economics Vice Presidency and the Environment and Natural Resources Global Practice. Mahyar Eshragh-Tabary, Sonu Jain, Haruna Kashiwase, Esther Naikal, William Prince, Christopher Sall, Jomo Tariku, and Junhe Yang contributed to its preparation. Azita Amjadi coordinated the production of the book. Barton Matheson Willse & Worthington typeset the book. The work was carried out under the direction of Haishan Fu and Paula Caballero. Jewel McFadden, Nora Ridolfi, and Janice Tuten from The World Banks Publishing and Knowledge Division oversaw publication and dissemination of the book.

Acknowledgments

vThe Little Green Data Book 2016

ForewordThe Sustainable Development Goals (SDGs) came into force at the beginning of 2016. They build on the Millennium Development Goals (MDGs) and articulate a new global development agenda to eradicate poverty and shift the world onto a sustainable development path by 2030. The SDGs are comprehensive, including goals on poverty reduction, education, health, environment, and peaceful and inclusive societies. The 17 SDGs and their 169 targets are designed as a web of inter-relationships and dependencies, where progress toward one goal can enhance progress in others.

While only one of the MDGs was explicitly about environment (MDG7), the SDGs put the environment on par with economic and social concerns. The environment cuts across all the SDGs and is directly reflected in at least seven goals.

The Little Green Data Book provides about 50 indicators for more than 200 countries. Several of these indicators have the potential to measure progress on the SDGs. These indicators measure the use of resources and the way human activities affect both the natural and the built environment. They include measures of natural resources (forest, water, and cultivable land) as well as degradation (pollution, deforestation, loss of habitat, and loss of biodiversity).

Efficient use of natural resources

Implementing the SDGs requires an understanding of the interdependencies between the economy and environment, including the impact the economy has on the long-term health of natural systems.

For example, SDG 12 is about sustainable production and consumption patterns. Achieving sustainable economic growth and development requires that we urgently reduce our ecological footprint by changing the way we produce and consume goods and resources. One third of the worlds total energy is consumed by the food sector; but one third of all food that is produced is lost or wasted. The UNs Food and Agriculture Organization (FAO) estimates that if even one quarter of this lost food could be saved, it would be enough to feed 870 million people and substantially reduce adverse environmental impacts.

Adjusted net savings (ANS), presented in the The Little Green Data Book, is an indicator of sustainability. It measures sustainability by expanding the conventional way we measure national savings to include natural resource depletion and degradation of the environment as well as investments in human capital. ANS is especially useful for countries that are heavily natural resource dependent and can help gauge whether they are balancing the depletion of their natural resources by investing rents in other forms of productive capital such as human capital (see Figure 1).

Monitoring degradation

Growing populations and expanding economies have placed greater demands on land, water, forests, minerals, and energy resources. Efforts to reduce

vi 2016 The Little Green Data Book

Foreword

poverty and promote sustainable economic growth are undermined by the degradation of soils, the increasing scarcity of freshwater, the overexploitation of coastal ecosystems and fisheries, the loss of forest cover, long-term changes in the Earths climate, and the loss of biological diversity (see Figure 2). People in extreme povertythe roughly 700 million living on less than $1.90 a day in purchasing power parity terms in 2015 are disproportionately affected by these changes.

For example, poor air quality is one of the leading causes of death worldwide, claiming the lives of more than 5.5 million people in 2013. Starting in 2014, The Little Green Data Book included two new indicators on air pollution based on the latest improved methodology to measure exposure and health impacts.

Where possible, estimates of the indicators are drawn from international sources and have been standardized to facilitate comparisons across countries. With a new, broader set of goals, targets, and indicators, the data requirements are even greater. This calls for greater investments in national statistical systems and other relevant public institutions, where much of the data will originate.

Figure 1

Source: World Development Indicators 2016.

5

0

5

10

15

20

25

2000 2005 2010

Adjusted net saving, 200014

Low-income Middle-income

% o

f G

NI

Adjusted net saving, a measure of sustainability

ANS takes into account investment in human capital, depreciation of fixed capital, depletion of natural resources, and pollution damage. Positive savings form the basis for building wealth and future growth. Savings rates below zero suggest declining wealth and unsustainable development. Over the past decade, the average ANS of low-income countries has hovered around or below zero. In contrast, the ANS of middle-income countries has been positive and steadily increasing over the past years.

viiThe Little Green Data Book 2016

Foreword

The Little Green Data Book is a result of close collaboration between the Development Data Group of the Development Economics Vice Presidency and the Environment and Natural Resources Global Practice. We welcome suggestions on how to improve our future editions.

Paula Caballero Haishan Fu Senior Director Director Environment and Natural Development Data Group Resources Global Practice

Figure 2

Sources: Food and Agriculture Organization; World Development Indicators 2016.

Dramatic loss of forest in two regions barely offset by gains elsewhere

Crucial to both the health of the planet and its diverse species and to the livelihoods of one fifth of the human population, forests contribute to long-term economic growth, social inclusion, and environmental stability. Despite many efforts to protect these areas, deforestation continues. Afforestation and reforestation efforts need to acceler-ate to ensure forest sustainability as defined in SDG target 15.2. While some regions have steadily increased their forest coverage, Latin America and the Caribbean and Sub-Saharan Africa have lost 97 million and 83 million hectares respectively over the past 25 years. More than 16 percent of Brazils original Amazonian forest has disap-peared with current rates of loss at 2 million hectares per year. Pres-sures on forests will continue with population growth, rapid urbaniza-tion, and demand for food, fiber, energy, and minerals.

100 75 50 25 0 25 50

Sub-Saharan Africa

South Asia

North America

Middle East & North Africa

Latin America & Caribbean

Europe & Central Asia

East Asia & Pacic

Change in forest area (millions of hectares),19902015

viii 2016 The Little Green Data Book

The data in this book are for the most recent year available as noted in the glossary.

Growth rates are calculated as annual averages and represented as percentages.

Figures in italics indicate data for years or periods other than those specified in the glossary.

Symbols used:

.. indicates that data are not available or that aggregates cannot be calculated because of missing data.

0 or 0.0 indicates zero or small enough that the number would round to zero at the displayed number of decimal places.

$ indicates current U.S. dollars.

Lettered notes on country tables can be found in the Notes on page 230. Data are shown for economies with populations greater than 30,000 or for smaller economies if they are members of the World Bank. The term country (used interchangeably with economy) does not imply political independence or official recognition by the World Bank but refers to any economy for which the authorities report separate social or economic statistics.

The selection of indicators in these pages includes some of those being used to monitor progress toward the Sustainable Development Goals. For more information about the 17 goalsending poverty, protecting the planet, and ensuring prosperity for all by 2030please see the other books and online resources in the World Development Indicators 2016 family of products.

The cutoff date for data is April 26, 2016.

Data notes

1The Little Green Data Book 2016

Regional tablesThe country composition of regions is based on the World Banks analytical regions for FY 16 and may differ from common geographic usage.

East Asia and PacificAmerican Samoa; Australia; Brunei Darussalam; Cambodia; China; Fiji; French Polynesia; Guam; Hong Kong SAR, China; Indonesia; Japan; Kiribati; Democratic Peoples Republic of Korea; Republic of Korea; Lao Peoples Democratic Republic; Macao SAR, China; Malaysia; Marshall Islands; Federated States of Micronesia; Mongolia; Myanmar; New Caledonia; New Zealand; Northern Mariana Islands; Palau; Papua New Guinea; Philippines; Samoa; Singapore; Solomon Islands; Thailand; Timor-Leste; Tonga; Tuvalu; Vanuatu; Vietnam

Europe and Central AsiaAlbania, Andorra, Armenia, Austria, Azerbaijan, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Channel Islands, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Faroe Islands, Finland, France, Georgia, Germany, Greece, Greenland, Hungary, Iceland, Ireland, Isle of Man, Italy, Kazakhstan, Kosovo, Kyrgyz Republic, Latvia, Liechtenstein, Lithuania, Luxembourg, former Yugoslav Republic of Macedonia, Moldova, Monaco, Montenegro, Netherlands, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovak Republic, Slovenia, Spain, Sweden, Switzerland, Tajikistan, Turkey, Turkmenistan, Ukraine, United Kingdom, Uzbekistan

Latin America and the CaribbeanAntigua and Barbuda, Argentina, Aruba, The Bahamas, Barbados, Belize, Bolivia, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaao, Dominica, Dominican Republic, Ecuador, El Salvador, Grenada, Guatemala, Guyana, Haiti, Honduras, Jamaica, Mexico, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Sint Marrten (Dutch part), St. Kitts and Nevis, St. Lucia, St. Martin (French part), St. Vincent and the Grenadines, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Repblica Bolivariana de Venezuela, Virgin Islands (U.S.)

Middle East and North Africa Algeria, Bahrain, Djibouti, Arab Republic of Egypt, Islamic Republic of Iran, Iraq, Israel, Jordan, Kuwait, Lebanon, Libya, Malta, Morocco, Oman, Qatar, Saudi Arabia, Syrian Arab Republic, Tunisia, United Arab Emirates, West Bank and Gaza, Republic of Yemen

North AmericaBermuda, Canada, United States

South AsiaAfghanistan, Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan, Sri Lanka

Sub-Saharan AfricaAngola, Benin, Botswana, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Democratic Republic of Congo, Republic of Congo, Cte dIvoire, Equatorial Guinea, Eritrea, Ethiopia, Gabon, The Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mozambique, Namibia, Niger, Nigeria, Rwanda, So Tom and Prncipe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Swaziland, Tanzania, Togo, Uganda, Zambia, Zimbabwe

GNI per capita, World Bank Atlas method ($)Adjusted net national income per capita ($)Urban population (% of total) AgricultureAgricultural land (% land area)Agricultural irrigated land (% of total agricultural land)Agricultural productivity, value added per worker (2005 $)Cereal yield (kg per hectare) Forests and biodiversityForest area (% land area)Deforestation (avg. annual %, 200015)Terrestrial protected areas (% of total land area)Threatened species, mammalsThreatened species, birdsThreatened species, fishThreatened species, higher plants OceansTotal fisheries production (thousand metric tons) Capture fisheries growth (avg. annual %, 200014) Aquaculture growth (avg. annual %, 200014)Marine protected areas (% of territorial waters)Coral reef area (sq. km)Mangroves area (sq. km) Energy and emissionsEnergy use per capita (kg oil equivalent)Energy from biomass products and waste (% of total)Electric power consumption per capita (kWh)Electricity generated using fossil fuel (% of total)Electricity generated by hydropower (% of total)CO2 emissions per capita (metric tons) Water and sanitationInternal freshwater resources per capita (cu. m)Total freshwater withdrawal (% of internal resources) Agriculture (% of total freshwater withdrawal)Access to improved water source (% of total population) Rural (% of rural population) Urban (% of urban population)Access to improved sanitation (% of total population) Rural (% of rural population) Urban (% of urban population) Environment and healthPM2.5 pollution, mean annual exposure (g/cu. m)PM2.5 exposure (% pop. exceeding WHO guideline level)Acute resp. infection prevalence (% of children under five)Diarrhea prevalence (% of children under five)Under-five mortality rate (per 1,000 live births) National accounting aggregatessavings, depletion and degradationGross savings (% of GNI)Consumption of fixed capital (% of GNI)Education expenditure (% of GNI)Energy depletion (% of GNI)Mineral depletion (% of GNI)Net forest depletion (% of GNI)CO2 damage (% of GNI)Air pollution damage (% of GNI)Adjusted net savings (% of GNI)

10,7998,971

53.4

38..

1,2543,886

31.10.1

14.83,3094,3937,819

14,781

195,7840.06.5

12.2284,300150,398

1,89410.0

3,10566.416.1

4.9

5,9259.160918596685082

3287

..

..43

25.814.6

4.21.40.40.10.50.2

12.7

2 2016 The Little Green Data Book

WorldPopulation (millions) 7,259.7 Land area (1,000 sq. km) 129,736 GDP ($ billions) 77,960.6


9,7318,038

55.7

48..

9224,947

26.30.215.6891

1,0951,4303,453

130,6391.36.6

17.0203,050

67,121

2,0737.8

3,56877.713.8

5.9

4,52510.8

72949097776487

4091

..

..17

37.915.3

2.81.00.70.10.80.3

22.7


East Asia & PacificPopulation (millions) 2,264.1 Land area (1,000 sq. km) 24,387 GDP ($ billions) 21,468.0


25,42421,296

70.7

30..

11,4543,799

38.00.112.6307633

1,2001,136

17,9161.22.9

13.0....

3,2165.6

5,43750.616.9

7.5

7,8667.536989699938995

1585

..

..11

21.915.4

4.81.20.10.00.30.29.5


Europe & Central AsiaPopulation (millions) 902.0 Land area (1,000 sq. km) 27,441 GDP ($ billions) 23,183.8


9,9128,314

79.6

38..

4,7554,127

46.30.4

23.3640

1,0101,5275,008

13,9564.18.7

15.520,32041,330

1,37316.2

2,11842.346.5

2.9

22,1622.472958497836488

1456

..

..18

18.311.1

4.92.61.00.30.30.27.7


Latin America & CaribbeanPopulation (millions) 626.3 Land area (1,000 sq. km) 20,042 GDP ($ billions) 6,253.5


8,7226,541

63.7

33..

3,8932,330

2.10.911.7203279575259

4,7822.19.83.8

15,470513

2,1900.6

2,87689.7

3.16.0

554133.6

85938996918793

32100

..

..23

37.711.4

4.19.50.10.20.60.2

16.3


Middle East & North AfricaPopulation (millions) 417.5 Land area (1,000 sq. km) 11,236 GDP ($ billions) 3,520.1


54,87946,170

81.5

26..

69,4576,867

36.00.111.6

5093

313398

6,4210.1

0.316.4

1,6203,030

6,9434.5

13,23961.713.416.7

15,9939.138999899

100100100

1152

..

..6

18.415.6

5.00.70.10.00.30.16.5


North AmericaPopulation (millions) 354.5 Land area (1,000 sq. km) 18,241 GDP ($ billions) 19,210.1


1,4961,314

32.6

57..

7143,066

17.50.46.6

249238353749

14,5421.97.32.3

15,44010,343

55026.367378.513.4

1.4

1,15251.6

91929195453565

46100

..

..53

30.79.62.81.00.21.61.11.0

18.9


Population (millions) 1,721.2 Land area (1,000 sq. km) 4,772 GDP ($ billions) 2,588.7

South Asia


1,6461,447

37.2

44..

7221,476

27.70.5

15.3891876

1,9963,645

7,2421.8

17.96.1

17,98028,061

67158.548865.120.5

0.8

3,9873.081685687302340

2182

51483

18.88.03.23.81.41.90.50.95.5


Population (millions) 974.3 Land area (1,000 sq. km) 23,618 GDP ($ billions) 1,745.2

Sub-Saharan Africa


For operational and analytical purposes the World Banks main criterion for classifying economies is gross national income (GNI) per capita. Each economy in The Little Data Book is classified as low income, lower middle income, upper middle income, or high income. Note: Classifications are fixed during the World Banks fiscal year (ending on June 30), thus countries remain in the categories in which they are classified irrespective of any revisions to their per capita income data.

Low-income economies are those with a GNI per capita of $1,045 or less in 2014.

Lower middle-income economies are those with a GNI per capita between $1,046 and $4,125.

Upper middle-income economies are those with a GNI per capita between $4,126 and $12,735.

High-income economies are those with a GNI per capita of $12,736 or more.

Income group tables


62853929.8

39..

3151,601

27.50.4

15.2623610

1,1321,898

4,1763.33.63.3

12,57015,227

..77.0

..

..

..0.3

4,7773.190665687282340

2080

61576

15.46.83.11.22.46.00.31.10.5


Population (millions) 622.0 Land area (1,000 sq. km) 13,366 GDP ($ billions) 397.8

Low income


2,0181,752

38.5

43..

9543,175

28.70.4

11.61,0791,1781,9093,981

58,6473.1

12.45.5

127,03069,507

63628.274373.116.8

1.5

3,06517.9

88908794524267

3693

..

..53

28.08.43.02.10.61.00.90.8

17.2


Lower middle incomePopulation (millions) 2,878.5 Land area (1,000 sq. km) 20,327 GDP ($ billions) 5,781.1


7,9266,734

61.8

45..

1,1974,393

28.80.0

16.6916

1,3662,0426,345

93,1471.15.48.8

49,90046,559

2,0158.3

3,21473.620.1

5.7

6,5947.449959197806788

3989

..

..19

37.312.2

3.02.30.80.10.90.3

23.7


Upper middle incomePopulation (millions) 2,360.8 Land area (1,000 sq. km) 40,947 GDP ($ billions) 18,958.1


38,30131,318

80.7

30..

19,1575,020

34.50.0

14.6613

1,0702,3112,424

39,5291.22.7

19.384,38019,106

4,6564.6

8,50860.813.111.1

11,3197.143999799969397

1573

..

..7

21.616.3

4.71.00.20.00.30.18.4


High incomePopulation (millions) 1,398.4 Land area (1,000 sq. km) 55,096 GDP ($ billions) 52,850.5


China

Unless otherwise noted, data for China do not include data for Hong Kong SAR, China; Macao SAR, China; or Taiwan, China.

Cyprus

GNI and GDP data and data calculated using GNI and GDP refer to the area controlled by the government of Cyprus.

Georgia

GNI, GDP, and population data and data calculated using GNI, GDP, and population exclude Abkhazia and South Ossetia.

Kosovo, Montenegro, and Serbia

Data for each country are shown separately where available. However, some indicators for Serbia prior to 2006 include data for Montenegro; these data are noted in the tables. Moreover, data for most indicators for Serbia from 1999 onward exclude data for Kosovo, which in 1999 became a territory under international administration pursuant to UN Security Council Resolution 1244 (1999). Kosovo became a member of the World Bank on June 29, 2009, and its data are shown where available.

Moldova

GNI, GDP, and population data and data calculated using GNI, GDP, and population exclude Transnistria.

Morocco

GNI and GDP data and data calculated using GNI and GDP include Former Spanish Sahara.

South Sudan and Sudan

South Sudan declared its independence on July 9, 2011. Data are shown separately for South Sudan where available. Data reported for Sudan exclude South Sudan unless otherwise noted.

Tanzania

GNI and GDP data and data calculated using GNI and GDP refer to mainland Tanzania only.

For more information, see World Development Indicators 2016 or data .worldbank.org.

Country tables


680 1,496 628578 1,314 53926.3 32.6 29.8

58 57 395.5 .. ..

389 714 3152,021 3,066 1,601

2.1 17.5 27.50.0 0.4 0.40.5 6.6 15.210 249 62317 238 610

5 353 1,1325 749 1,898

2.1 14,542 4,1760.0 1.9 3.39.4 7.3 3.60.0 2.3 3.3

.. 15,440 12,570

.. 10,343 15,227

.. 550 ..

.. 26.3 77.0

.. 673 ..

.. 78.5 ..

.. 13.4 ..0.4 1.4 0.3

1,491 1,152 4,77743.0 51.6 3.1

99 91 9055 92 6647 91 5678 95 8732 45 2827 35 2345 65 40

22 46 2099 100 80

.. .. 6

.. .. 1591 53 76

4.6 30.7 15.410.1 9.6 6.8

1.6 2.8 3.10.0 1.0 1.20.0 0.2 2.41.6 1.6 6.00.7 1.1 0.32.8 1.0 1.1

18.3 18.9 0.5


AfghanistanCountry

data

SouthAsia

group

Low-income group

Population (millions) 31.6 Land area (1,000 sq. km) 653 GDP ($ billions) 20.0


4,450 25,424 7,9263,804 21,296 6,734

56.4 70.7 61.8

43 30 4517.3 .. ..

3,614 11,454 1,1974,893 3,799 4,393

28.2 38.0 28.80.0 0.1 0.02.3 12.6 16.6

3 307 91610 633 1,36644 1,200 2,042

0 1,136 6,345

8.2 17,916 93,1474.0 1.2 1.1

15.9 2.9 5.41.5 13.0 8.8

.. .. 49,900

.. .. 46,559

800 3,216 2,0158.7 5.6 8.3

2,531 5,437 3,2140.0 50.6 73.6

100.0 16.9 20.11.6 7.5 5.7

9,294 7,866 6,5944.9 7.5 7.439 36 4995 98 9595 96 9195 99 9793 93 8090 89 6796 95 88

16 15 39100 85 89

5 .. ..5 .. ..

14 11 19

12.0 21.9 37.311.8 15.4 12.2

2.8 4.8 3.03.5 1.2 2.30.3 0.1 0.80.1 0.0 0.10.4 0.3 0.90.3 0.2 0.3

1.6 9.5 23.7


AlbaniaCountry

data

Europe &Central

Asia group

Upper middle- income group



5,490 8,722 7,9264,223 6,541 6,734

70.1 63.7 61.8

17 33 452.6 .. ..

4,470 3,893 1,1971,378 2,330 4,393

0.8 2.1 28.81.6 0.9 0.07.9 11.7 16.613 203 91614 279 1,36640 575 2,04218 259 6,345

100 4,782 93,1471.0 2.1 1.114.8 9.8 5.4

1.2 3.8 8.8.. 15,470 49,900.. 513 46,559

1,246 2,190 2,0150.0 0.6 8.3

1,277 2,876 3,21499.4 89.7 73.6

0.6 3.1 20.13.3 6.0 5.7

289 554 6,59474.9 133.6 7.4

59 85 4984 93 9582 89 9184 96 9788 91 8082 87 6790 93 88

19 32 39100 100 89

.. .. ..

.. .. ..26 23 19

44.5 37.7 37.36.6 11.4 12.24.5 4.1 3.0

14.2 9.5 2.30.0 0.1 0.80.4 0.2 0.10.7 0.6 0.90.1 0.2 0.3

26.9 16.3 23.7


AlgeriaCountry

data

Middle East &

N. Africa group

Upper middle- income group



.. 9,731 7,926

.. 8,038 6,73487.3 55.7 61.8

25 48 45.. .. .... 922 1,197.. 4,947 4,393

90.0 26.3 28.80.0 0.2 0.0

12.6 15.6 16.61 891 9168 1,095 1,366

11 1,430 2,0421 3,453 6,345

2.6 130,639 93,1478.3 1.3 1.1

10.4 6.6 5.417.3 17.0 8.8220 203,050 49,9000.52 67,121 46,559

.. 2,073 2,015

.. 7.8 8.3

.. 3,568 3,214

.. 77.7 73.6

.. 13.8 20.1

.. 5.9 5.7

.. 4,525 6,594

.. 10.8 7.4

.. 72 49100 94 95100 90 91100 97 97

63 77 8063 64 6763 87 88

.. 40 39

.. 91 89

.. .. ..

.. .. ..

.. 17 19

.. 37.9 37.3

.. 15.3 12.2

.. 2.8 3.0

.. 1.0 2.3

.. 0.7 0.8

.. 0.1 0.1

.. 0.8 0.9

.. 0.3 0.3

.. 22.7 23.7


American SamoaCountry

data

East Asia & Pacific

group

Upper middle-income group

Population (thousands) 55 Land area (sq. km) 200 GDP ($ millions) ..


43,270 25,424 38,301.. 21,296 31,318

85.6 70.7 80.7

44 30 30.. .. .... 11,454 19,157.. 3,799 5,020

34.0 38.0 34.50.0 0.1 0.0

19.5 12.6 14.62 307 6132 633 1,0700 1,200 2,3110 1,136 2,424

.. 17,916 39,529

.. 1.2 1.2

.. 2.9 2.70.0 13.0 19.3

.. .. 84,380

.. .. 19,106

.. 3,216 4,656

.. 5.6 4.6

.. 5,437 8,508

.. 50.6 60.8

.. 16.9 13.16.0 7.5 11.1

4,336 7,866 11,319.. 7.5 7.1.. 36 43

100 98 99100 96 97100 99 99100 93 96100 89 93100 95 97

10 15 1534 85 73

.. .. ..

.. .. ..3 11 7

.. 21.9 21.610.2 15.4 16.3

2.4 4.8 4.70.0 1.2 1.00.0 0.1 0.2

.. 0.0 0.00.2 0.3 0.3

.. 0.2 0.1

.. 9.5 8.4


AndorraCountry

data

Europe & Central

Asia group

High-income group

Population (thousands) 73 Land area (sq. km) 470 GDP ($ billions) 3.2


.. 1,646 7,9263,676 1,447 6,734

43.3 37.2 61.8

47 44 45.. .. .... 722 1,197

889 1,476 4,393

46.4 27.7 28.80.2 0.5 0.07.0 15.3 16.617 891 91626 876 1,36650 1,996 2,04234 3,645 6,345

442 7,242 93,1474.5 1.8 1.1

34.1 17.9 5.40.1 6.1 8.8

.. 17,980 49,900312 28,061 46,559

655 671 2,01556.3 58.5 8.3227 488 3,21429.1 65.1 73.670.9 20.5 20.1

1.4 0.8 5.7

6,109 3,987 6,5940.5 3.0 7.421 81 4949 68 9528 56 9175 87 9752 30 8023 23 6789 40 88

14 21 3990 82 89

.. 5 ..

.. 14 ..157 83 19

31.8 18.8 37.38.4 8.0 12.23.6 3.2 3.0

24.2 3.8 2.30.0 1.4 0.80.3 1.9 0.10.3 0.5 0.90.9 0.9 0.33.0 5.5 23.7


AngolaCountry

data

Sub-Saharan Africa group

Upper middle-income group



13,300 9,912 38,301.. 8,314 31,318

24.2 79.6 80.7

20 38 30.. .. ..

2,360 4,755 19,1572,000 4,127 5,020

22.7 46.3 34.50.0 0.4 0.05.5 23.3 14.6

2 640 6131 1,010 1,070

29 1,527 2,3114 5,008 2,424

3.1 13,956 39,5294.3 4.1 1.2

.. 8.7 2.71.4 15.5 19.3

240 20,320 84,3808.4 41,330 19,106

.. 1,373 4,656

.. 16.2 4.6

.. 2,118 8,508

.. 42.3 60.8

.. 46.5 13.15.8 2.9 11.1

572 22,162 11,31922.1 2.4 7.1

16 72 4398 95 9998 84 9798 97 9991 83 9691 64 9391 88 97

16 14 15100 56 73

.. .. ..

.. .. ..8 18 7

9.3 18.3 21.613.8 11.1 16.3

2.3 4.9 4.70.0 2.6 1.00.0 1.0 0.2

.. 0.3 0.00.5 0.3 0.3

.. 0.2 0.1

.. 7.7 8.4


Antigua and BarbudaCountry

data


group

High-income group

Population (thousands) 91 Land area (sq. km) 440 GDP ($ billions) 1.2


13,480 9,912 38,30110,779 8,314 31,318

91.6 79.6 80.7

55 38 301.5 .. ..

13,198 4,755 19,1574,555 4,127 5,020

9.9 46.3 34.51.0 0.4 0.06.8 23.3 14.640 640 61350 1,010 1,07039 1,527 2,31170 5,008 2,424

834 13,956 39,5290.7 4.1 1.26.0 8.7 2.78.9 15.5 19.3

.. 20,320 84,380

.. 41,330 19,106

1,895 1,373 4,6564.2 16.2 4.6

3,093 2,118 8,50871.1 42.3 60.822.3 46.5 13.1

4.6 2.9 11.1

6,794 22,162 11,31912.9 2.4 7.1

74 72 4399 95 99

100 84 9799 97 9996 83 9698 64 9396 88 97

9 14 1535 56 73

.. .. ..

.. .. ..13 18 7

18.0 18.3 21.69.2 11.1 16.34.5 4.9 4.72.4 2.6 1.00.3 1.0 0.20.1 0.3 0.00.4 0.3 0.30.1 0.2 0.1

10.1 7.7 8.4


ArgentinaCountry

data


group

High- income group



4,020 25,424 2,0183,494 21,296 1,752

62.8 70.7 38.5

59 30 439.2 .. ..

10,006 11,454 9543,026 3,799 3,175

11.7 38.0 28.70.0 0.1 0.4

24.8 12.6 11.68 307 1,079

15 633 1,1783 1,200 1,909

71 1,136 3,981

18.7 17,916 58,64710.9 1.2 3.121.7 2.9 12.4

0.0 13.0 5.5.. .. 127,030.. .. 69,507

969 3,216 6360.3 5.6 28.2

1,870 5,437 74341.2 50.6 73.128.2 16.9 16.8

1.7 7.5 1.5

2,282 7,866 3,06542.9 7.5 17.9

39 36 88100 98 90100 96 87100 99 94

90 93 5278 89 4296 95 67

18 15 3698 85 93

5 .. ..9 .. ..

14 11 53

13.2 21.9 28.012.1 15.4 8.4

2.1 4.8 3.00.0 1.2 2.11.6 0.1 0.60.2 0.0 1.00.5 0.3 0.90.5 0.2 0.80.4 9.5 17.2


ArmeniaCountry

data

Europe & Central

Asia group

Lower middle-income group



.. 9,912 38,301

.. 8,314 31,31841.8 79.6 80.7

11 38 30.. .. .... 4,755 19,157.. 4,127 5,020

2.3 46.3 34.50.0 0.4 0.00.5 23.3 14.6

2 640 6131 1,010 1,070

23 1,527 2,3112 5,008 2,424

0.14 13,956 39,5291.0 4.1 1.2

.. 8.7 2.70.0 15.5 19.3


64,600 9,731 38,30147,745 8,038 31,318

89.3 55.7 80.7

52 48 300.6 .. ..

50,498 922 19,1572,137 4,947 5,020

16.2 26.3 34.50.2 0.2 0.0

14.6 15.6 14.656 891 61350 1,095 1,070

111 1,430 2,31192 3,453 2,424

229 130,639 39,5292.1 1.3 1.26.3 6.6 2.7

48.5 17.0 19.348,960 203,050 84,380

9,910 67,121 19,106

5,586 2,073 4,6563.9 7.8 4.6

10,134 3,568 8,50887.4 77.7 60.8

7.3 13.8 13.116.5 5.9 11.1

20,963 4,525 11,3194.0 10.8 7.166 72 43

100 94 99100 90 97100 97 99100 77 96100 64 93100 87 97

6 40 150 91 73.. .. .... .. ..4 17 7

24.6 37.9 21.617.5 15.3 16.3

5.1 2.8 4.70.9 1.0 1.02.4 0.7 0.20.0 0.1 0.00.3 0.8 0.30.0 0.3 0.18.5 22.7 8.4


AustraliaCountry

data

East Asia & Pacific

group

High-income group

Population (millions) 23.5 Land area (1,000 sq. km) 7,682 GDP ($ billions) 1,454.7


49,600 25,424 38,30141,559 21,296 31,318

65.9 70.7 80.7

38 30 301.7 .. ..

35,427 11,454 19,1577,246 3,799 5,020

46.9 38.0 34.50.1 0.1 0.028.4 12.6 14.6

3 307 61312 633 1,07011 1,200 2,31121 1,136 2,424

3.7 17,916 39,5291.6 1.2 1.21.3 2.9 2.70.0 13.0 19.3

.. .. 84,380

.. .. 19,106

3,918 3,216 4,65619.5 5.6 4.6

8,513 5,437 8,50820.8 50.6 60.865.0 16.9 13.1

7.8 7.5 11.1

6,436 7,866 11,3196.6 7.5 7.1

3 36 43100 98 99100 96 97100 99 99100 93 96100 89 93100 95 97

15 15 1588 85 73

.. .. ..

.. .. ..4 11 7

25.0 21.9 21.618.1 15.4 16.3

5.2 4.8 4.70.1 1.2 1.00.0 0.1 0.20.0 0.0 0.00.2 0.3 0.30.1 0.2 0.1

11.8 9.5 8.4


AustriaCountry

data

Europe & Central

Asiagroup

High-income group


GNI per capita, World Bank Atlas method ($)Adjusted net national income per capita ($)Urban population (% of total) AgricultureAgricultural land (% land area)Agricultural irrigated land (% of total agricultural land)Agricultural productivity, value added per worker (2005 $)Cereal yield (kg per hectare) Forests and biodiversityForest area (% land area)Deforestation (avg. annual %, 200015)Terrestrial protected areas (% of total land area)Threatened species, mammalsThreatened species, birdsThreatened species, fishThreatened species, higher plants OceansTotal fisheries production (thousand metric tons) Capture fisheries growth (avg. annual %, 200014) Aquaculture growth (avg. annual %, 200014)Marine protected areas (% of territorial waters)Coral reef area (sq. km)Mangroves area (sq. km) Energy and emissionsEnergy use per capita (kg oil equivalent)Energy from biomass products and waste (% of total)Electric power consumption per capita (kWh)Electricity generated using fossil fuel (% of total)Electricity generated by hydropower (% of total)CO2 emissions per capita (metric tons) Water and sanitationInternal freshwater resources per capita (cu. m)Total freshwater withdrawal (% of internal resources) Agriculture (% of total freshwater withdrawal)Access to improved water source (% of total population) Rural (% of rural population) Urban (% of urban population)Access to improved sanitation (% of total population) Rural (% of rural population) Urban (% of urban population) Environment and healthPM2.5 pollution, mean annual exposure (g/cu. m)PM2.5 exposure (% pop. exceeding WHO guideline level)Acute resp. infection prevalence (% of children under five)Diarrhea prevalence (% of children under five)Under-five mortality rate (per 1,000 live births) National accounting aggregatessavings, depletion and degradationGross savings (% of GNI)Consumption of fixed capital (% of GNI)Education expenditure (% of GNI)Energy depletion (% of GNI)Mineral depletion (% of GNI)Net forest depletion (% of GNI)CO2 damage (% of GNI)Air pollution damage (% of GNI)Adjusted net savings (

Documents

The Little Green Data Book 2016 - World Bank · The Little Green Data Book 2016 . is the result of close collaboration between the staff of the Development Data Group of the Development